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Materialize VS StarRocks

Compare Materialize VS StarRocks and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Materialize logo Materialize

A Streaming Database for Real-Time Applications

StarRocks logo StarRocks

StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.
  • Materialize Landing page
    Landing page //
    2023-08-27
  • StarRocks Landing page
    Landing page //
    2023-09-21

Materialize videos

+ Add

Bootstrap Vs. Materialize - Which One Should You Choose?

More videos:

  • Review - Materialize Review | Does it compete with Substance Painter?
  • Review - Why We Don't Need Bootstrap, Tailwind or Materialize

StarRocks videos

+ Add

The Secrets Behind StarRocks' Blazing-Fast Query Performance

More videos:

  • Review - How can StarRocks outperform ClickHouse, Apache Druid® and Trino？
  • Review - Achieving real-time analytics using Apache Kafka®, Apache Flink® and StarRocks

Category Popularity

0-100% (relative to Materialize and StarRocks)

Materialize

StarRocks

Databases
66 66%
Databases
34% 34
Database Tools
100 100%
Database Tools
0% 0
Relational Databases
40 40%
Relational Databases
60% 60
Big Data
100 100%
Big Data
0% 0

User comments

Share your experience with using Materialize and StarRocks. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Materialize seems to be more popular. It has been mentiond 65 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Materialize mentions (65)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 4 months ago
  • We Built a Streaming SQL Engine
    Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 8 months ago
  • Ask HN: Who is hiring? (October 2023)
    Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 8 months ago
  • Ask HN: Who is hiring? (June 2023)
    Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (April 2023)
    Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago
View more

StarRocks mentions (0)

We have not tracked any mentions of StarRocks yet. Tracking of StarRocks recommendations started around Jun 2023.

What are some alternatives?

When comparing Materialize and StarRocks, you can also consider the following products

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

RisingWave - RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.

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